<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Conversational Search Engine | Benjamin M. Ampel</title><link>https://bampel.com/tag/conversational-search-engine/</link><atom:link href="https://bampel.com/tag/conversational-search-engine/index.xml" rel="self" type="application/rss+xml"/><description>Conversational Search Engine</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Sat, 24 Oct 2026 00:00:00 +0000</lastBuildDate><image><url>https://bampel.com/media/icon_hu_cc9cb5646de94589.png</url><title>Conversational Search Engine</title><link>https://bampel.com/tag/conversational-search-engine/</link></image><item><title>Authority Bias in Conversational Search Engines for Academic Paper Recommendation</title><link>https://bampel.com/conference_publication/authority-bias-emnlp-2026/</link><pubDate>Sat, 24 Oct 2026 00:00:00 +0000</pubDate><guid>https://bampel.com/conference_publication/authority-bias-emnlp-2026/</guid><description>
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&lt;span class="pub-plain-tag">In Plain Terms&lt;/span>
&lt;p>When you ask an AI chatbot to recommend academic papers, does it judge the paper itself or does it just favor famous authors and top journals? This paper tests that directly by giving eight different LLMs the exact same paper content but changing only the author names, venue, and citation counts. Every model showed a strong, systematic bias toward high-prestige signals, and asking the models to ignore prestige only partially worked: they got better at hiding the bias in their explanations while still acting on it.&lt;/p>
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&lt;h3>Key Contributions&lt;/h3>
&lt;p class="pub-muted">Key contributions will be added soon.&lt;/p>
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&lt;h3>Artifacts&lt;/h3>
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&lt;a class="pub-chip" href="https://bampel.com/uploads/papers/Jinadu_etal_Ampel_2026_EMNLP_Authority-Bias-Conversational-Search.pdf" target="_blank" rel="noopener">PDF&lt;/a>
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&lt;h3>Related Papers&lt;/h3>
&lt;ul class="pub-related">
&lt;li>
&lt;a href="https://bampel.com/conference_publication/bias-detection-hicss-2026/">A Domain-Adaptive Soft Prompting Framework for Multi-Type Bias Detection in News&lt;/a>
&lt;span>2026 · HICSS&lt;/span>
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&lt;h3>Citation&lt;/h3>
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&lt;div class="pub-citation-text">Uthman Jinadu, Parsa Ghazvinian, Anjila Budathoki, Benjamin M. Ampel, Rajshekhar Sunderraman, &amp;amp; Yi Ding (2026). Authority Bias in Conversational Search Engines for Academic Paper Recommendation. In *Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)*&lt;/div>
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